code: def __init__(
      self,
      n_components=2,
      n_iter=3,
      copy=True,
      check_input=True,
      random_state=None,
      engine="sklearn",
      handle_unknown="error",
  ):
      super().__init__(
          rescale_with_mean=True,
          rescale_with_std=False,
          n_components=n_components,
          n_iter=n_iter,
          copy=copy,
          check_input=check_input,
          random_state=random_state,
          engine=engine,
      )
      self.handle_unknown = handle_unknown
  
file_path: prince/prince/famd.py
imports: from __future__ import annotations
  import numpy
  import pandas
  import sklearn.utils
  from sklearn import preprocessing
  from prince import pca, utils
label_desc: Use image node_id 1 to create a new FAMD object from inherited base classes: pca with example: obj = FAMD(n_components, n_iter, copy, check_input, random_state, engine, handle_unknown)